NSF award 2509217 · Northwestern University at Chicago

CRCNS Research Proposal: Measuring and modeling the biological intelligence advantage

Final report due

29 December 2028

in 803 days · The award ends on 31 August 2028.

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award ending 2028-08-31 · Research.gov
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Extension request17 Jul 2028in 638 days
award ending 2028-08-31 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 Aug 2028in 673 days
award ending 2028-08-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due29 Dec 2028in 803 days
award ending 2028-08-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due29 Dec 2028in 803 days
award ending 2028-08-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out29 Dec 2028in 803 days
award ending 2028-08-31 · Research.gov
PAPPG 24-1: “financially closed out 120 days after their expiration date”

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NSF lists this award's end date as 31 August 2028.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 29 December 2028.

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Award card

Award number: 2509217
Period of support: 1 Sep 2025 – 31 Aug 2028
Amount: $1,000,000
Awardee: Northwestern University at Chicago, Evanston, IL
Program: CRCNS-Computation Neuroscience, Modulation
Directorate: CSE

Abstract

As promising as recent artificial intelligence (AI) advances have been, there are still many areas where it falls short. In those areas where it does well, training is slow and requires an unsustainable amount of energy. This has been measured using video games. Humans are able to play these games well after only a few tries, while AI systems require hundreds of thousands to millions of exposures to achieve the same…

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